EAN-130000000000086   EAN-13 barcode 0000000000086
UPC-A000000000086   UPC-A barcode 000000000086
UPC-E00000806   UPC-E barcode 00000806
Product NameBig Wipes Industrial Wipes Plus+ Pack Of 80 Red Top + 20% Extra BGW202020
LanguageEnglish
CategoryHardware: Tools
Amazon.comA Buy on Amazon ~ B0055KJ22C
Model2020 0000
Price New195.00 US Dollars    (curriencies)
Width4.53 inches    (convert)
Height4.53 inches    (convert)
Length9.88 inches    (convert)
Weight32.48 ounces    (convert)
BindingMisc.
Features
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  • UK's No 1 Hand and Power Tool Seller
  • BEST BRANDS AT BEST PRICES
  • Draper, Sealey, Bahco, Stanley and Much More..
Long Description

Big Wipes Industrial Wipes Plus+ Pack Of 80 Red Top + 20% Extra BGW202020


These wipes have the same powerful industrial-strength cleaning formula as Big Wipes Industrial, but arecombined with a high-performance dual-sided fabric. They have double the cleaning power and are able to remove even the toughest stains and dried-on dirt.

The wipes aredesigned for use by anyone who needs a very effective and immediately on-hand cleaning product.They area high-performance, mobile multi-cleaner that will tackle just about any dirt or stain.

During manufacture, the fabric goes through a second process to bond heavy-duty fibres to create a super-toughscrub facethat loosens even the most stubborn grime and assists with the removal of drying paints, heavy-duty adhesives and PU foam. The specially treated smooth face absorbs the grime ensuring a super-clean finish every time.

The BIG WIPES Industrial+ formula is not only a super-strength industrial cleaner, it is also antibacterial. This provides added protection to users working in potentially hazardous environments, outside or in. They are 99%+ effective against MRSA, E. Coli, Salmonella, Listeria, Clostridia, Enterococcus, Pseudomonas, Staphylococcus Aureus and Weils Disease.

The Big Wipes' advanced hi-tech cleaning formula means they are unique in their ability to clean a vast range of subtances from hands, tools and surfaces, including:

General grime
Grease
Oil- and water-based paints and coatings
PUR and instant-grab adhesives
Silicone and acrylic sealants
PU foam
EPOXY fillers and grouts
Oil
Tar
Inks and permanent marker
...and much more!

They are ideal for the home, office, workshop, van or factory.

Other Uses:

These wipesact asamulti-purpose degreaser that makes them great for cleaning around cookers and for messy jobs such as changing the extractor filter. Use them to clean up old paint and sealant rather than

BGW2

Similar Items0086702522804: Anne Klein Women's AK/1362RGRG Rose Gold-Tone Diamond-Accented Bracelet Watch
Created03-04-2013 11:09:51am
Modified09-26-2017 4:53:24am
MD58c09798a20b92ab319d26737ed329885
SHA256754436d210d260cd8d69f8a39098fcd316039dc64be78cb459f71cff8d14b57e
Search Googleby EAN or by Title
Query Time0.0006030

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;

Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;

You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.

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